The article presents an analysis of the application of the Socratic method for selecting machine learning models in corporate information systems. The study aims to explore the potential of utilizing the modular architecture of Socratic Models for integrating pretrained models without the need for additional training. The methodology relies on linguistic interactions between modules, enabling the combination of data from various domains, including text, images, and audio, to address multimodal tasks. The results demonstrate that the proposed approach holds significant potential for optimizing model selection, accelerating decision-making processes, and reducing the costs associated with implementing artificial intelligence in corporate environments.

Keywords: Socratic method, machine learning, corporate information systems, multimodal data, linguistic interaction, business process optimization, artificial intelligence

The article examines the modular structure of interactions between various models based on the Socratic dialogue. The research aims to explore the possibilities of synthesizing neural networks and system analysis using Socratic methods for managing corporate IT projects. The application of these methods enables the integration of knowledge stored in pre – trained models without additional training, facilitating the resolution of complex management tasks. The research methodology is based on analyzing the capabilities of multimodal models, their integration through linguistic interactions, and system analysis of key aspects of IT project management. The results include the development of a structured framework for selecting suitable models and generating recommendations, thereby improving the efficiency of project management in corporate environments. The scientific significance of the study lies in the integration of modern artificial intelligence approaches to implement system analysis using multi – agent solutions.

Keywords: neural networks, system analysis, Socratic method, corporate IT projects, multimodal models, project management

The urgency of estimating the content of nitrates in food products to ensure environmental safety at an individual level is discussed in the article. Data on the negative effect of increased nitrate content in plant foods on human health are given. The results of the study on the determination of the content of nitrates in food products using a household nitrate counter "Soek nuk-019-2" are discussed. This device makes a conclusion about the concentration of nitrates by comparing the reference electrical conductivity of different types of vegetables / fruits with the electrical conductivity of a particular controlled product. It is determined that exceeding the MPC is observed in potatoes and onions, which are sold through a network of stores that occupy leading positions in the prevalence in Taganrog. Excess of MAC in carrots is observed only in its central part (core). Based on the results obtained, practical recommendations are given to ensure the safety of food consumption.

Keywords: food safety, food, nitrate content, household nitrate

The work is devoted to the synthesis of a linear acceleration sensor with two axes of sensitivity behavioral model based on the mathematical model of this device in the differential equations form using MatLab software package Simulink environment. The results of the dynamics simulation of the synthesized behavioral sensor model in the form of transient and spectral analysis of the system reaction are shown. The main idea of analysis is to study the frequency parameters and damping properties of the object. The experiment has identified high quality factor of the oscillatory system, due to small damping, it is reflected by the slow decay of transient and pronounced resonances.

Keywords: microsystem technology, microelectromechanical systems, electronic components, accelerometer, sensor, design, model, modeling, transient, spectral analysis

The work is devoted to the synthesis of a angular rate sensor behavioral model based on the mathematical model of this device in the differential equations form using MatLab software package Simulink environment. The results of the dynamics simulation of the synthesized behavioral sensor model in the form of transient and spectral analysis of the system reaction are shown. The main idea of analysis is to study the frequency parameters and damping properties of the object. The experiment has identified high quality factor of the oscillatory system, due to small damping, it is reflected by the slow decay of transient and pronounced resonances.

Keywords: microsystem technology, microelectromechanical systems, electronic components, gyroscope, electrostatics, design, model, modeling, transient, spectral analysis

Promising absorbing materials along with a Ni-Zn-ferrites are Mg-Zn-ferrites, as they are also intensively absorbs electromagnetic waves in the frequency range from 50 MHz to 1000 MHz. The main advantage of the Mg-Zn-ferrite is used as an inexpensive raw material magnesium oxide. The paper presents the results of research to improve the efficiency of broadband radio-magnesium-zinc ferrite by increasing the contribution of the dielectric loss. The influence of alloying elements of the atmosphere gas and cooling after the sintering thermal radiation by absorption of electromagnetic waves. Confirmed cooling efficiency of products after sintering in an atmosphere with reduced oxygen partial pressure to increase the dielectric constant. A model is proposed to explain the increase in the dielectric loss ferrite during cooling in a reducing atmosphere.

Keywords: radioabsorbing ferrites, microstructure grain boundaries radio measurement radiation thermal sintering

The received results of modelling of a micromechanical sensor of angular speeds and linear accelerations are considered. 

Keywords: microsystm technology, element base, modeling, sensor, gyroscope, accelerometer